SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 691–700 of 1192 papers

TitleStatusHype
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
Graph Embedding for Recommendation against Attribute Inference Attacks—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
RelWalk A Latent Variable Model Approach to Knowledge Graph EmbeddingCode0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
Marius: Learning Massive Graph Embeddings on a Single MachineCode1
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data—0
Continual Learning of Knowledge Graph EmbeddingsCode1
Discrete Knowledge Graph Embedding based on Discrete Optimization—0
MöbiusE: Knowledge Graph Embedding on Möbius Ring—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified